Suchergebnisse - binary ing learning with errors

Machine learning approaches to analyze histological images of tissues from radical prostatectomies von Gertych, Arkadiusz, Ing, Nathan, Ma, Zhaoxuan, Fuchs, Thomas J., Salman, Sadri, Mohanty, Sambit, Bhele, Sanica, Velásquez-Vacca, Adriana, Amin, Mahul B., Knudsen, Beatrice S.

“… •Machine learning approaches were applied to separate stroma from epithelium in prostate tissue images …”
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Neural Networks Based Smart E-Health Application for the Prediction of Tuberculosis Using Serverless Computing von Murugesan, Subramaniam Subramanian, Velu, Sasidharan, Golec, Muhammed, Wu, Huaming, Gill, Sukhpal Singh

“… ) using serverless computing. The performance of various Convolution Neural Network (CNN) architectures using transfer learning is evaluated to prove …”
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A Hybrid Transformer-LLM Pipeline for Function Name Recovery in Stripped Binaries von Petrache, Remus, Lemnaru, Camelia

“… Recovering meaningful function names from stripped executables is a difficult challenge in reverse engineer- ing and security analysis …”
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Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images von Ukwuoma, Chiagoziem C, Cai, Dongsheng, Heyat, Md Belal Bin, Bamisile, Olusola, Adun, Humphrey, Al-Huda, Zaid, Al-Antari, Mugahed A

“… Using medical images to detect COVID-19 from essentially identical thoracic anomalies is challenging because it is time-consuming, laborious, and prone to human error …”
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A Novel Method for Diagnosing Alzheimer’s Disease from MRI Scans using the ResNet50 Feature Extractor and the SVM Classifier von Islam, Farhana, Rahman, Md. Habibur, -, Nurjahan, Hossain, Md. Selim, Ahmed, Samsuddin

“… Since there is a scarcity of experienced neurologists, manual diagnosis of AD is very time-consuming and error-prone …”
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Early warning system for coffee rust disease based on error correcting output codes: a proposal von Corrales, David Camilo, Peña Q, Andrés J, León, Carlos, Figueroa, Apolinar, Corrales, Juan Carlos

“… Recently, machine learning researchers have tried to predict infection through classifiers such as decision trees, regression Support Vector Machines (SVM …”
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A new technique for cataract eye disease diagnosis in deep learning von Mahmood, Salwa Shakir, Chaabouni, Sihem, Fakhfakh, Ahmed

“… Automated diagnosis of eye diseases using fundus images is challenging because manual analysis is time-consuming, prone to errors, and complicated …”
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Combining a Forward Supervised Filter Learning Approach and Sparse Nmf for Breast Cancer Histopathological Image Classification von Karuppasamy, ArunaDevi

“… Hence, there is a need for automat ing the histopathological image analysis process. Early machine learning methods for histopathological image processing rely …”
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3d Lung Nodule Classification In Computed Tomography Images von Carvalho, Ana Rita Felgueiras

“… Lung cancer is the leading cause of cancer death worldwide. Usually, the diagnosis is made by physicians reading computed tomographies, CTs a task prone to errors …”
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